The cerebral imaging using vessel-around method in the perfusion CT of the human brain

Choong Il Ahn, Seung Wook Choi, Seung Chul Park, Yeong Gil Shin, Jae Hyoung Kim, Gi Bong Chong

Research output: Contribution to journalConference articlepeer-review

Abstract

Perfusion CT has been successfully used as a functional imaging technique for diagnosis of patients with hyperacute stroke. However, the commonly used methods based on curve-fitting are time consuming. Numerous researchers have investigated to what extent Perfusion CT can be used for the quantitative assessment of cerebral ischemia and to rapidly obtain comprehensive information regarding the extent of ischemic damage in acute stroke patients. The aim of this study is to propose an alternative approach to rapidly obtain the brain perfusion mapping and to show the proposed cerebral flow imaging of the vessel and tissue in human brain be reliable and useful. Our main design concern was algorithmic speed, robustness and automation in order to allow its potential use in the emergency situation of acute stroke. To obtain a more effective mapping, we analyzed the signal characteristics of Perfusion CT and defined the vessel-around model which includes the vessel and tissue. We proposed a nonparametric vessel-around approach which automatically discriminates the vessel and tissue around vessel from non-interested brain matter stratifying the level of maximum enhancement of pixel-based TAC. The stratification of pixel-based TAC was executed using the mean and standard deviation of the signal intensity of each pixel and mapped to the cerebral flow imaging. The defined vessel-around model was used to show the cerebral flow imaging and to specify the area of markedly reduced perfusion with loss of function of still viable neurons. Perfusion CT is a fast and practical technique for routine clinical application. It provides substantial and important additional information for the selection of the optimal treatment strategy for patients with hyperacute stroke. The vesselaround approach reduces the computation time significantly when compared with the perfusion imaging using the GVF. The proposed cerebral imaging shows reliable results which are validated by physicians and medical staff. Moreover the vessel-around approach was found to be comprehensive and easy-to-interpret by physicians and medical staff, hence we conclude that our proposed vessel-around technique can be used for brain perfusion mapping.

Original languageEnglish
Article number78
Pages (from-to)670-677
Number of pages8
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5746
Issue numberII
DOIs
StatePublished - 2005
EventMedical Imaging 2005 - Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: 13 Feb 200515 Feb 2005

Keywords

  • CBF
  • CT Perfusion
  • Gamma Variate Function (GVF)
  • Ischemic Stroke
  • Levenberg Marquardt Algorithm(LMA)
  • Vessel Definition

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